Applied AI Engineer
Tasks
- Build agent-based systems
- Build test and deploy end to end automation tools
- Design AI driven workflow improvements
- Develop LLM-powered applications
- Evaluate and adopt emerging AI tools
- Identify operational inefficiencies
- Implement retrieval-augmented generation
- Integrate LLM APIs
- Monitor and optimize AI system performance
- Own product lifecycle from prototyping to deployment
- Translate business requirements into technical solutions
Perks/Benefits
- Employee stock options
- Flexible scheduling
- Fully remote
- Health insurance
- Home office setup allowance
- Parental leave
- Professional development stipend
- Recognition programs
- Unlimited paid time off
Skills/Tech-stack
AI Workflow Orchestration | AI workflow | API Design | Agentic Architectures | CI/CD | Docker | Google Cloud | JavaScript | LLM APIs | Model Context Protocol | Next.js | Prompt engineering | Python | Retrieval-Augmented Generation | TypeScript | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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